Skip to main content

Automated Breast Tissue Measurement of Women at Increased Risk of Breast Cancer

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4046))

Abstract

We have analysed data from a subgroup of thirty-nine women who had previously gained more than 10kg in adult life, and who were amongst those recruited from a family history clinic to a study examining the effects of diet and exercise on breast cancer risk. At entry to the study and after 12 months they underwent a series of investigations, including mammography during which markers were attached to the compression plate to allow accurate measurement of breast thickness. A calibrated stepwedge was placed adjacent to the breast to enable quantitative analysis. The proportions of glandular and fatty tissue were calculated at each pixel from the stepwedge and thickness data and from these, the percentage gland in the breast was computed, both by area and by volume. Statistical analysis showed that the volume of glandular tissue was not related to breast size. Over the 12 month period, the majority of the women lost weight, while some gained weight. It was found that weight change was correlated with change in the volume of fat in the breasts, with those women who lost the largest amount of weight showing the greatest reduction in volume. There was little change in volume of glandular tissue for any of the women. Percentage gland is often used as an indication of risk of developing breast cancer. These results suggest that measures of percentage of gland (e.g. Boyd groups) may be dominated by excess breast fat in overweight women.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Wolfe, J.N.: Breast patterns as an index of risk for developing breast cancer. Am. J. Roentgenol. 126, 1130–1139 (1976)

    Google Scholar 

  • Boyd, N.F., O’Sullivan, B., Campbell, J.E., Fishell, E., Simor, I., Cook, G., Germanson, T.: Mammographic signs as risk factors for breast cancer. Br. J. Cancer. 45, 185–193 (1982)

    Article  Google Scholar 

  • Jeffreys, M., Warren, R., Davey Smith, G., Gunnell, D.: Breast density: agreement of measures from film and digital image. British Journal of Radiology 76, 561–563 (2003)

    Article  Google Scholar 

  • Quarterman, C., Al-Nuaimi, Y., Astley, S.M., Boggis, C.R.M., Hillier, V., Griffiths, P., McGee, M., Duffy, S., Gilbert, F.J.: Breast Density Assessment by Multiple Readers for the Evaluation of Computer Aided Detection Systems. In: Pisano, E. (ed.) Proceedings of IWDM 2004, Chapel Hill, North Carolina (2004)

    Google Scholar 

  • Byng, J.W., Boyd, N.F., Jong, R.A., Fishell, E., Yaffe, M.J.: Quantitative analysis of mammographic densities. Phys. Med. Biol. 39, 1629–1638 (1994)

    Article  Google Scholar 

  • Highnam, R., Brady, M.: Mammographic Image Analysis. Kluwer Academic Publishers, Dordrecht (1999)

    MATH  Google Scholar 

  • Pawluczyk, O., Augustine, B.J., Yaffe, M.J., Rico, D., Yang, J., Mawdsley, G.E.: A volumetric method for estimation of breast density on digitized screen-film mammograms. Med. Phys. 30, 352–364 (2003)

    Article  Google Scholar 

  • Smith, J., Astley, S., Graham, J., Hufton, A.: The calibration of grey levels in mammograms. In: Doi, K., Giger, M.L., Nishikawa, R.M., Schmidt, R.A. (eds.) Digital Mammography. Elsevier, Amsterdam (1996)

    Google Scholar 

  • Hufton, A., Astley, S.M., Marchant, T., Patel, H.: A method for the quantification of dense breast tissue from digitised mammograms. In: Pisano, E. (ed.) Proceedings of IWDM 2004. Chapel Hill, North Carolina (2004)

    Google Scholar 

  • Harvie, M., Mercer, T.H., Humphries, G., Hopwood, P., Adams, J., Evans, G., Sumner, H., Astley, S., Hayes, L., Cooley, J., Ashcroft, L., Howell, A.: The effects of weight loss and exercise on biomarkers of breast cancer risk – rationale and study design. In: Gandalai, S. (ed.) Recent research developments in nutrition, Kerala, India, Research Signpost, vol. 5, pp. 91–110 (2002)

    Google Scholar 

  • Sala, E., Warren, R., McCann, J., Duffy, S., Luben, R., Day, N.: High risk mammographic parenchymal patterns and anthropometric measures: a case control study. British Journal of Cancer 81(7), 1257–1261 (1999)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Patel, H.G. et al. (2006). Automated Breast Tissue Measurement of Women at Increased Risk of Breast Cancer. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_19

Download citation

  • DOI: https://doi.org/10.1007/11783237_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35625-7

  • Online ISBN: 978-3-540-35627-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics